How do I install the Pydantic Models Py skill?

Run npx skillmds add thedixitjain/pydantic-models-py in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Pydantic Models Py safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: executes scripts, makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Pydantic Models Py?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Pydantic Models Py free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Pydantic Models Py?

thedixitjain (@thedixitjain) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Pydantic Models Py by thedixitjain — Agent Skill

Name: Pydantic Models Py
Rating: 4.2 (5 reviews)
Author: thedixitjain

Pydantic Models Py

Create Pydantic models following the multi-model pattern with Base, Create, Update, Response, and InDB variants. Use when defining API request/response schemas, database models, or data validation in Python applications using Pydantic v2.

thedixitjain fa3eae9 3 files · 6.3 KB Updated Sep 8, 2026 2 repo stars

File contents

Pydantic Models

Create Pydantic models following the multi-model pattern for clean API contracts.

Quick Start

Copy the template from assets/template.py and replace placeholders:

{{ResourceName}} → PascalCase name (e.g., Project)
{{resource_name}} → snake_case name (e.g., project)

Multi-Model Pattern

Model	Purpose
`Base`	Common fields shared across models
`Create`	Request body for creation (required fields)
`Update`	Request body for updates (all optional)
`Response`	API response with all fields
`InDB`	Database document with `doc_type`

camelCase Aliases

class MyModel(BaseModel):
    workspace_id: str = Field(..., alias="workspaceId")
    created_at: datetime = Field(..., alias="createdAt")
    
    class Config:
        populate_by_name = True  # Accept both snake_case and camelCase

Optional Update Fields

class MyUpdate(BaseModel):
    """All fields optional for PATCH requests."""
    name: Optional[str] = Field(None, min_length=1)
    description: Optional[str] = None

Database Document

class MyInDB(MyResponse):
    """Adds doc_type for Cosmos DB queries."""
    doc_type: str = "my_resource"

Integration Steps

Create models in src/backend/app/models/
Export from src/backend/app/models/__init__.py
Add corresponding TypeScript types

Reference Files

File	Contents
references/capabilities.md	Additional non-hero capabilities, operation-group coverage, and production checklists.

Source: microsoft/skills → .github/plugins/azure-sdk-python/skills/pydantic-models-py/SKILL.md

---name: pydantic-models-pydescription: Create Pydantic models following the multi-model pattern with Base, Create, Update, Response, and InDB variants. Use when defining API request/response schemas, database models, or data validation in Python applications using Pydantic v2.---# Pydantic ModelsCreate Pydantic models following the multi-model pattern for clean API contracts.## Quick StartCopy the template from [assets/template.py](assets/template.py) and replace placeholders:- `{{ResourceName}}` → PascalCase name (e.g., `Project`)- `{{resource_name}}` → snake_case name (e.g., `project`)## Multi-Model Pattern| Model | Purpose ||-------|---------|| `Base` | Common fields shared across models || `Create` | Request body for creation (required fields) || `Update` | Request body for updates (all optional) || `Response` | API response with all fields || `InDB` | Database document with `doc_type` |## camelCase Aliases```pythonclass MyModel(BaseModel): workspace_id: str = Field(..., alias="workspaceId") created_at: datetime = Field(..., alias="createdAt") class Config: populate_by_name = True # Accept both snake_case and camelCase```## Optional Update Fields```pythonclass MyUpdate(BaseModel): """All fields optional for PATCH requests.""" name: Optional[str] = Field(None, min_length=1) description: Optional[str] = None```## Database Document```pythonclass MyInDB(MyResponse): """Adds doc_type for Cosmos DB queries.""" doc_type: str = "my_resource"```## Integration Steps1. Create models in `src/backend/app/models/`2. Export from `src/backend/app/models/__init__.py`3. Add corresponding TypeScript types## Reference Files| File | Contents ||------|----------|| [references/capabilities.md](references/capabilities.md) | Additional non-hero capabilities, operation-group coverage, and production checklists. |---**Source:** [`microsoft/skills`](https://github.com/microsoft/skills) → `.github/plugins/azure-sdk-python/skills/pydantic-models-py/SKILL.md`

Frequently asked questions